A Novel ISAR Imaging Algorithm for Nonuniformly Rotating Target

Xia Bai, Yi Feng, Juan Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High resolution inverse synthetic aperture radar (ISAR) imaging of nonuniform rotating target is a challenging task because of migration through range cells (MTRC) and high order phase term. A novel ISAR imaging algorithm is proposed: (1) range compression and translational motion compensation; (2) MTRC compensation by using keystone transform; (3) the optimal order estimation; (4) fractional Fourier transform (FrFT). The proposed algorithm need not search, which reduces the computational cost. Experiment results by using MIG-25 and B-727 data have shown that the processing scheme can effectively mitigate MTRC and phase error, and it can produce well-focused images.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1137-1140
Number of pages4
ISBN (Electronic)9781728163741
DOIs
Publication statusPublished - 26 Sept 2020
Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
Duration: 26 Sept 20202 Oct 2020

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/TerritoryUnited States
CityVirtual, Waikoloa
Period26/09/202/10/20

Keywords

  • Inverse synthetic aperture radar
  • fractional Fourier transform
  • nonuniform rotating target
  • time-frequency distribution

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